Copertina

Neural Federated Learning for Livestock Growth Prediction

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Shoujin, Ni, Mingze, Liu, Wei, Chu, Victor W., Zheng, Bryan, Kanwal, Ayush, Yang, Roy Jing, Sabir, Kenneth, Chen, Fang
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

SleepNet and DreamNet: Enriching and Reconstructing Representations for Consolidated Visual Classification
di: Ni, Mingze, et al.
Pubblicazione: (2024)

Reversible Jump Attack to Textual Classifiers with Modification Reduction
di: Ni, Mingze, et al.
Pubblicazione: (2024)

Cross-Entropy Attacks to Language Models via Rare Event Simulation
di: Ni, Mingze, et al.
Pubblicazione: (2025)

Deceiving Question-Answering Models: A Hybrid Word-Level Adversarial Approach
di: Li, Jiyao, et al.
Pubblicazione: (2024)

Livestock, Methane and Climate
di: Alexander, D., et al.
Pubblicazione: (2026)

The Flexural Creep Behavior and Creep Compliance Prediction of Basalt Fiber Composites Under Freeze–Thaw Cycles
di: Jing Chen, et al.
Pubblicazione: (2026)

HASFL: Heterogeneity-aware Split Federated Learning over Edge Computing Systems
di: Lin, Zheng, et al.
Pubblicazione: (2025)

Collision-Free Robot Navigation in Crowded Environments using Learning based Convex Model Predictive Control
di: Wen, Zhuanglei, et al.
Pubblicazione: (2024)

Self-diffusion for Solving Inverse Problems
di: Luo, Guanxiong, et al.
Pubblicazione: (2025)

Federated User Preference Modeling for Privacy-Preserving Cross-Domain Recommendation
di: Wang, Li, et al.
Pubblicazione: (2024)

Structural Representation Learning and Disentanglement for Evidential Chinese Patent Approval Prediction
di: Shan, Jinzhi, et al.
Pubblicazione: (2024)

FedEMA-Distill: Exponential Moving Average Guided Knowledge Distillation for Robust Federated Learning
di: Reguieg, Hamza, et al.
Pubblicazione: (2026)

A Survey on Enhancing Causal Reasoning Ability of Large Language Models
di: Li, Xin, et al.
Pubblicazione: (2025)

Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations
di: Li, Jin, et al.
Pubblicazione: (2025)

Federal Drought Assistance and Adaptation Decisions in the U.S. Livestock Sector
di: R. Aaron Hrozencik, et al.
Pubblicazione: (2025)

Livestock
Pubblicazione: (2025)

Livestock
Pubblicazione: (2024)

Resource Efficient Asynchronous Federated Learning for Digital Twin Empowered IoT Network
di: Chu, Shunfeng, et al.
Pubblicazione: (2024)

AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization
di: Li, Jiyao, et al.
Pubblicazione: (2024)

Towards Uncertainty-Aware Federated Granger Causal Learning
di: Mohanty, Ayush, et al.
Pubblicazione: (2026)

Traffic and Mobility Optimization Using AI: Comparative Study between Dubai and Riyadh
di: Aalijah, Kanwal
Pubblicazione: (2025)

Utilizing Social Media Analytics to Detect Trends in Saudi Arabias Evolving Market
di: Aalijah, Kanwal
Pubblicazione: (2025)

Integrating farmers' knowledge with technology for sustainable irrigation management
di: Anuj Kanwal
Pubblicazione: (2024)

Leveraging Social Media Analytics for Sustainability Trend Detection in Saudi Arabias Evolving Market
di: Aalijah, Kanwal
Pubblicazione: (2025)

A High-Resolution, US-scale Digital Similar of Interacting Livestock, Wild Birds, and Human Ecosystems with Applications to Multi-host Epidemic Spread
di: Adiga, Abhijin, et al.
Pubblicazione: (2024)

Andalasian Livestock
Pubblicazione: (2024)

Livestock for Sale
di: Groot, Maaike
Pubblicazione: (2021)

Livestock for Sale
di: Groot, Maaike
Pubblicazione: (2025)

Livestock for Sale
di: Groot, Maaike
Pubblicazione: (2021)

Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural Networks
di: Khot, Ayush, et al.
Pubblicazione: (2025)

Unlearning Clients, Features and Samples in Vertical Federated Learning
di: Varshney, Ayush K., et al.
Pubblicazione: (2025)

Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction
di: Zhang, Zifan, et al.
Pubblicazione: (2024)

Lessons Learned in Quadruped Deployment in Livestock Farming
di: Rodríguez-Lera, Francisco J., et al.
Pubblicazione: (2024)

Exploring the Coinfection and Genetic Diversity of Multiple Tick‐Borne Pathogens in Livestock Population of Punjab, Pakistan
di: Sabir Hussain, et al.
Pubblicazione: (2024)

Federated Causal Representation Learning in State-Space Systems for Decentralized Counterfactual Reasoning
di: Mohamed, Nazal, et al.
Pubblicazione: (2026)

Multi-Hazard Early Warning Systems for Agriculture with Featural-Temporal Explanations
di: Zheng, Boyuan, et al.
Pubblicazione: (2025)

Autoregressive Image Diffusion: Generation of Image Sequence and Application in MRI
di: Luo, Guanxiong, et al.
Pubblicazione: (2024)

Employment and Learning Outcomes of LIS Graduates: A Case of Pakistan
di: Warraich, Nosheen Fatima, et al.
Pubblicazione: (2011)

Leverage Variational Graph Representation For Model Poisoning on Federated Learning
di: Li, Kai, et al.
Pubblicazione: (2024)

The Confidence Trap: Gender Bias and Predictive Certainty in LLMs
di: Sabir, Ahmed, et al.
Pubblicazione: (2026)